Land suitability assessment for wheat production using analytical hierarchy process in a semi-arid region of Central Anatolia

Rational planning of soil resources based on their capabilities are needed for the sustainable use of agricultural lands. Land suitability classification is an important evaluation tool for the management of soil resources. This study aimed to evaluate the land suitability for wheat (Triticum aestivum) cultivation using an approach that integrates multi-criteria decision making (MCDA) analysis and geographic information systems (GIS). The study area cover 21146 ha land and is located within the land consolidation area in the Çumra Plain, located in Central Anatolia of Turkey, The physical, chemical and fertility properties of the soil samples collected from 342 points in the study area were used as parameters in the wheat suitability assessment. The relative weight values of the soil parameters were determined by the Analytical Hierarchy Process (AHP). Literature and expert opinion were used in the creation of the AHP matrices and the determination of the sub-criteria. The criteria with the highest weight values or which have the highest impact on wheat growth were soil texture (0.30) and pH (0.16), while the lowest weight values were given for micro elements (0.02). Land Suitability Assessment was applied to the maps of soil variables using weighted overlay analysis in the GIS environment by using the relative weights. Thus, the suitability of the study area for wheat cultivation was mapped. The results revealed that 74% of the study area was highly suitable (S1) and 24% was moderately suitable (S2) for wheat cultivation. The coefficient of determination (R2) was 0.81, which indicated a successful prediction of the GIS-MCDA hybrid approach for wheat suitability assessment. Integration of land suitability analyzes specific to plant variety in land consolidation projects can provide a more detailed perspective on the land in the design of planning studies. © 2022 Informa UK Limited, trading as Taylor & Francis Group

A case of mediastinitis accompanied with hyperosmolar nonketotic coma

AbstractMediastinitis is a serious infection involving mediastinal spaces after cervical infections spread along the facial planes. A late diagnosis of mediastinitis may result in death. Here we present a diabetic patient suffered from mediastinit accompanied with hyperosmolar nonketotic coma. A 61 years old male patient with type 2 diabetes was admitted to our hospital, with complaint of generalized worsening and fever. A diagnosis of nonketotic hyperosmolar coma was done and proper treatment started immediately. Neck tomography revealed abscess formation in the upper mediastinum. The needle aspirat culture failed to show bacterial growth. After five days of antibiotic treatment the patient's symptoms resolved. The abscess formation and pleural effusion almost disappeared on control tomography. No similar case presentation was seen in the current literature. Apart from this case, mediastinit should be keep in mind when a patient suffered from dysphagia, fever and cervical swelling

The effect of magnesium added to levobupivacaine for femoral nerve block on postoperative analgesia in patients undergoing ACL reconstruction

Purpose The aim of this prospective randomised doubleblind study is to investigate the effect of magnesium added to local anaesthetics on postoperative VAS scores, total opioid consumption, time to first mobilisation, patient satisfaction and rescue analgesic requirements in arthroscopic ACL reconstruction surgery. Methods A total of 107 American Society of Anaesthesiologists physical status grade I and II patients between 18 and 65 years of age who were scheduled to undergo elective anterior crucial ligament (ACL) reconstruction with hamstring autografts were enrolled in the study. The patients were randomly allocated to Groups L (n = 51) and LM (n = 56) using the closed-envelope method. Group LM was administered 19 ml of 0.25 % levobupivacaine and 1 ml of 15 % magnesium sulphate, while Group L was administered 20 ml of 0.25 % levobupivacaine for femoral blockade. General anaesthesia was administered using laryngeal airway masks following neural blockade in both groups. The patients were evaluated for heart rate and mean arterial pressure, oxygen saturation, visual analogue score (VAS), verbal rating scale (VRS), rescue analgesic requirements, total opioid consumption, side effects and time to first mobilisation at the 1st, 2nd, 4th, 6th, 12th and 24th hours postoperatively. Results There was no statistically significant difference in terms of demographic data, mean arterial pressure, heart rate or oxygen saturation between groups. The area under the curve VAS and VRS scores were lower at 4, 6, 12 and 24 h in Group LM (p = 0.001, p = 0.016, respectively). The rescue analgesic requirement and the total opioid consumption were significantly lower in Group LM (p = 0.015, p = 0.019, respectively). The time to first mobilisation and the Likert score (completely comfortable; quite comfortable; slight discomfort; painful; very painful) were higher, and the block onset time was lower in Group LM (p = 0.014 and p = 0.012, respectively). There was no difference in terms of side effects. Conclusions The addition of magnesium to levobupivacaine prolongs the sensory and motor block duration without increasing side effects, enhances the quality of postoperative analgesia and increases patient satisfaction; however, the addition of magnesium delays the time to first mobilisation and decreases rescue analgesic requirements

Relation between Apolipoprotein E Gene Polymorphism and Severity of Coronary Artery Disease in Acute Myocardial Infarction

Apolipoprotein E (ApoE) is a plasma protein and associated with cholesterol transport system. In several studies, the relationship between ApoE gene polymorphism and severity of coronary artery disease (CAD) has been shown. However, the relationship between ApoE gene polymorphism and severity of CAD in patients with acute myocardial infarction (MI) has not been well known. The aim of this study is to investigate the relation between ApoE polymorphism and severity of CAD in patients with acute MI by using the Gensini Score. In this study, 138 patients were admitted to cardiology clinic with diagnosis of acute MI, and angiographic assessment was performed using the Gensini Score. Blood samples were obtained from all patients in the first day. The patients with ApoE34 genotype had high Gensini scores. Besides, the patients with E4 allele carriers were associated with high Gensini score compared with the patients without E4 allele carriers (p:0,22). The patients with E4 allele carriers were associated with higher LDL cholesterol and total cholesterol compared with the patients without E4 allele carriers (p:0,001 and p:0,03, resp.). There were no statistically significant differences between ApoE genotypes and severity of CAD by using the Gensini Score. But, the patients with E4 allele carriers were associated with high lipid levels

Providing persistance in comfort conditions by the application of artificial neural networks to air-conditioning systems

Bu çalışmada, deneysel amaçlı bir iklimlendirme odasının konfor şartlarının, yapay sinir ağlarıyla otomatik kontrolü yapılmıştır. Kurulan iklimlendirme sisteminde ön ısıtma, soğutma, nemlendirme, son ısıtma, dış hava ve karışım havası fonksiyonları bulunmaktadır. Yapay sinir ağları algoritmasını kullanan otomatik kontrol sistemi; odayı konfor şartlarına getirip devamlılığını sağlayacak şekilde önceden eğitilmiştir. Eğitim sonucu elde edilen veriler kullanılarak; yapay sinir ağı iklimlendirme sistemi fonksiyonlarından gerekli olanı devreye sokularak odanın devamlı konfor şartları içerisinde kalması sağlanmıştır.The comfort conditions of an experimental air-conditioning room has been automatically controlled by artificial neural networks, in this study. There exists pre-heating, cooling, humidifying, last-heating, external air and mixed air functions in the air-conditioning system. The automatic control system utilizing artificial neural networks algorithm has been thought in advance to set comfort conditions in the room and to provide their persistance. The comfort conditions in the room have been kept persistant by operating the required functions of the artificial neural network air-conditioning system with the aid of data obtained from the training results